Data Science (specialisation)

Entry requirements

A completed Bachelor's degree in Computing Science or related area

To get admission to the Master's in computing Science, you'll need a Bachelor’s degree in Computing Science or in Artifical Intelligence. For the specialisation in Data Science, we also encourage students to apply with a background in natural sciences, such as Chemistry, Biology, and Physics, who also have a keen interest in data analytics and proven mathematical and programming skills.

A proficiency in English

In order to take part in this programme, you need to have fluency in both written and spoken English.This requirement has been satisfied when the student meets the conditions, listed on our website.

Would you like to know if you are eligible to be admitted to this programme? Take our E-Check and instantly get an insight in your eligibility.

Months of entry

September

Course content

Programme overview

Data plays a role in almost every scientific discipline, business industry or social organisation. Medical scientists sequence human genomes, astronomers generate terabytes of data per hour with huge telescopes and the police employ seismology-like data models that predict where crimes will occur. Meanwhile, businesses like Google and Amazon are shifting user preference data to fulfil desires we don’t even know we have. Data scientests are needed in wide array of fields. In the Master’s specialisation in Data Science you’ll learn how to turn data into knowledge with the help of computers and how to translate that knowledge into solutions.

What will you learn?

• Gain a theoretical understanding of important topics in the field of data science, including machine learning, Bayesian Networks, and Information Retriveal
• Get a better understanding of the philosophical, ethical, and societal implications of data science
• Learn how to design, conduct and present your own research findings

Career prospects

It is then with good reason that data science has been called the sexiest job of the 21st century. Many companies complain about the difficulty to find skilled data scientists and predict this to be even harder in the future. A professional data scientist has fine problem-solving, analytical, programming, and communication skills. He or she applies those skills to analyse a problem in the light of the available real-world data, to come up with a creative and useful solution, to find or program the right tool to turn the data into knowledge, and to communicate the obtained findings to others. By combining data, computing power and human intellect, data scientists can make a real difference to help and improve our society.

Although this Master’s in Data Science is an excellent stepping-stone for students with ambitions in research, most of our graduates work as data consultants and data analysts for commercial companies and governmental organisations.

*This is a specialisation of the Master's in Computing Science

If you have any questions, email us here: study-information@ru.nl

Learn more via the Radboud University contact form.

Fees and funding

There are various scholarships available for studying at Radboud University. Some of the opportunities are described below. A full list, including detailed information, can be found on our website.

• Radboud Scholarship Programme
• Fulbright-Radboud Scholarships